{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The text.latex.preview rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The mathtext.fallback_to_cm rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: Support for setting the 'mathtext.fallback_to_cm' rcParam is deprecated since 3.3 and will be removed two minor releases later; use 'mathtext.fallback : 'cm' instead.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The validate_bool_maybe_none function was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The savefig.jpeg_quality rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The keymap.all_axes rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The animation.avconv_path rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n",
      "In C:\\Users\\Han\\.conda\\envs\\my_project1\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test.mplstyle: \n",
      "The animation.avconv_args rcparam was deprecated in Matplotlib 3.3 and will be removed two minor releases later.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import folium\n",
    "import json\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rc(\"font\", family = 'Malgun Gothic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(r\".xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(r.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['창원대학교', '경북대학교', '성균관대학교', '경남대학교', '서울대학교', '이화여자대학교', '전남대학교',\n",
       "       '충남대학교', '건국대학교', '경희대학교', '고려대학교', '동국대학교', '울산대학교', '중앙대학교',\n",
       "       '한국외국어대학교', '인천대학교', '동아대학교', '광주대학교', '한양대학교', '사관학교', '영남대학교',\n",
       "       '한국방송통신대학교', '연세대학교', '북경대학교', '숙명여자대학교', '전북대학교', '부산대학교',\n",
       "       '원광대학교', '한밭대학교', '세종대학교', ' 관동대학교', '충북대학교', '성결대학교', '한국항공대학교',\n",
       "       '서울산업대학교', '부산외국어대학교', '인하대학교', '경성대학교', '서강대학교', '조선대학교',\n",
       "       '가톨릭관동대학교', '숭실대학교', '고려사이버대학교', '순천향대학교', '서울시립대학교', '제주대학교',\n",
       "       '상명대학교', '국민대학교', '한신대학교', '경찰대학교', '중동고등학교', '울산과학대학교',\n",
       "       '삼육간호전문대학교', '광운대학교', '초당대학교', '한국체육대학교', '경기대학교', '가천대학교',\n",
       "       '한국애니메이션고등학교', '대명정보대학교', '대구대학교', '청주대학교', '단국대학교', '양서종합고등학교',\n",
       "       '계명대학교', '경원대학교', '신라대학교', '북경외국어대학교'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['undergraduate_school'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_school(school):\n",
    "    par = ''\n",
    "    if school == '창원대학교' : par = 'Changwon National University'\n",
    "    if school == '경북대학교' : par = 'Kyungpook National University'\n",
    "    if school == '성균관대학교' : par = 'Sungkyunkwan University'\n",
    "    if school == '경남대학교' : par = 'Kyungnam University'\n",
    "    if school == '서울대학교' : par = 'Seoul National University'\n",
    "    if school == '이화여자대학교' : par = 'Ewha Womans University'\n",
    "    if school == '전남대학교' : par = 'Chonnam National University'\n",
    "    if school == '충남대학교' : par = 'Chungnam National University'\n",
    "    if school == '건국대학교' : par = 'Konkuk University'\n",
    "    if school == '경희대학교' : par = 'Kyung Hee University'\n",
    "    if school == '고려대학교' : par = 'Korea University'\n",
    "    if school == '동국대학교' : par = 'Dongguk University'\n",
    "    if school == '울산대학교' : par = 'University of Ulsan'\n",
    "    if school == '중앙대학교' : par = 'Chung-Ang University'\n",
    "    if school == '한국외국어대학교' : par = 'Hankuk University of Foreign Studies'\n",
    "    if school == '인천대학교' : par = 'Incheon National University'\n",
    "    if school == '동아대학교' : par = 'Dong-A University'\n",
    "    if school == '광주대학교' : par = 'Gwangju University'\n",
    "    if school == '한양대학교' : par = 'Hanyang University'\n",
    "    if school == '사관학교' : par = 'Korea Military Academy'\n",
    "    if school == '영남대학교' : par = 'Yeungnam University'\n",
    "    if school == '한국방송통신대학교' : par = 'Korea National Open University'\n",
    "    if school == '연세대학교' : par = 'Yonsei University'\n",
    "    if school == '북경대학교' : par = 'Peking University'\n",
    "    if school == '숙명여자대학교' : par = \"Sookmyung Women's University\"\n",
    "    if school == '전북대학교' : par = 'Chonbuk National University'\n",
    "    if school == '부산대학교' : par = 'Pusan National University'\n",
    "    if school == '원광대학교' : par = 'Wonkwang University'\n",
    "    if school == '한밭대학교' : par = 'Hanbat National University'\n",
    "    if school == '세종대학교' : par = 'Sejong University'\n",
    "    if school == ' 관동대학교' : par = 'Kwandong University'\n",
    "    if school == '충북대학교' : par = 'Chungbuk National University'\n",
    "    if school == '성결대학교' : par = 'Sungkyul University'\n",
    "    if school == '한국항공대학교' : par = 'Korea Aerospace University'\n",
    "    if school == '서울산업대학교' : par = 'Seoul National University of Science and Technology'\n",
    "    if school == '부산외국어대학교' : par = 'Busan University of Foreign Studies'\n",
    "    if school == '인하대학교' : par = 'Inha University'\n",
    "    if school == '경성대학교' : par = 'Kyungsung University'\n",
    "    if school == '서강대학교' : par = 'Sogang University'\n",
    "    if school == '조선대학교' : par = 'Chosun University'\n",
    "    if school == '가톨릭관동대학교' : par = 'Catholic Kwandong University'\n",
    "    if school == '숭실대학교' : par = 'Soongsil University'\n",
    "    if school == '고려사이버대학교' : par = 'Korea Cyber University'\n",
    "    if school == '순천향대학교' : par = 'Soonchunhyang University'\n",
    "    if school == '서울시립대학교' : par = 'University of Seoul'\n",
    "    if school == '제주대학교' : par = 'Jeju National University'\n",
    "    if school == '상명대학교' : par = 'Sangmyung University'\n",
    "    if school == '국민대학교' : par = 'Kookmin University'\n",
    "    if school == '한신대학교' : par = 'Hanshin University'\n",
    "    if school == '경찰대학교' : par = 'Korean National Police University'\n",
    "    if school == '중동고등학교' : par = 'ungdong High School'\n",
    "    if school == '울산과학대학교' : par = 'Ulsan College'\n",
    "    if school == '삼육간호전문대학교' : par = 'Sahmyook Health University College'\n",
    "    if school == '광운대학교' : par = 'Kwangwoon University'\n",
    "    if school == '초당대학교' : par = 'Chodang University'\n",
    "    if school == '한국체육대학교' : par = 'Korea National Sport University'\n",
    "    if school == '경기대학교' : par = 'Kyonggi University'\n",
    "    if school == '가천대학교' : par = 'Gachon University'\n",
    "    if school == '한국애니메이션고등학교' : par = 'Korean Animation High School'\n",
    "    if school == '대명정보대학교' : par = 'Daemyung University'\n",
    "    if school == '대구대학교' : par = 'Daegu University'\n",
    "    if school == '청주대학교' : par = 'Cheongju University'\n",
    "    if school == '단국대학교' : par = 'Dankook University'\n",
    "    if school == '양서종합고등학교' : par = 'Yangseo General High School'\n",
    "    if school == '계명대학교' : par = 'Keimyung University'\n",
    "    if school == '경원대학교' : par = 'Kyungwon University'\n",
    "    if school == '신라대학교' : par = 'Silla University'\n",
    "    if school == '북경외국어대학교' : par = 'Beijing Foreign Studies University'\n",
    "     \n",
    "    \n",
    "    \n",
    "    return par\n",
    "\n",
    "    \n",
    "df['undergraduate_school'] = df['undergraduate_school'].apply(lambda x:get_school(x)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_job(job):\n",
    "    par = ''\n",
    "    if job == '기업인' : par = 'Business'\n",
    "    if job == '정당인' : par = 'Party'\n",
    "    if job == '학계' : par = 'Academia'\n",
    "    if job == '공무원' : par = 'Public'\n",
    "    if job == '보좌관' : par = 'Secretary'\n",
    "    if job == '사회운동' : par = 'Social movement'\n",
    "    if job == '언론인' : par = 'Journalist'\n",
    "    if job == '법조인' : par = 'Law'\n",
    "    if job == '군인' : par = 'Army'\n",
    "    if job == '의료인' : par = 'Medical'\n",
    "    if job == '운동예술' : par = 'Sports/Art'\n",
    "    if job == '전문직' : par = 'Accounting'\n",
    "    if job == '자영업자' : par = 'Self-ownership'\n",
    "    if job == '농업인' : par = 'Agricultural'\n",
    "    if job == '이익단체' : par = 'Interest group'\n",
    "\n",
    "    return par\n",
    "\n",
    "    \n",
    "df['job_1'] = df['job_1'].apply(lambda x:get_job(x)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Bar graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 792x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(11,5))\n",
    "\n",
    "\n",
    "count = df['undergraduate_school'].value_counts()\n",
    "\n",
    "# sort the counts in descending order\n",
    "count = count.sort_values(ascending=False)\n",
    "\n",
    "# get the top 20 counts\n",
    "top_20 = count.head(20)\n",
    "\n",
    "# create a bar plot based on the top 20 counts\n",
    "top_20.plot(kind='bar', color='grey')\n",
    "\n",
    "# add number labels to the bars with increased font size\n",
    "for i, v in enumerate(top_20):\n",
    "    plt.text(i - 0.15, v + 4, str(v), fontsize=18, rotation = 90)\n",
    "\n",
    "# set the x-axis tick label font size\n",
    "plt.xticks(size=16)\n",
    "\n",
    "# set the y-axis tick label font size\n",
    "plt.yticks(size=18, rotation = 90)\n",
    "\n",
    "\n",
    "plt.ylim([0, 80])\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "# display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 792x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(11,5))\n",
    "\n",
    "\n",
    "count = df['job_1'].value_counts()\n",
    "\n",
    "# sort the counts in descending order\n",
    "count = count.sort_values(ascending=False)\n",
    "\n",
    "# get the top 20 counts\n",
    "top_10 = count.head(10)\n",
    "\n",
    "# create a bar plot based on the top 20 counts\n",
    "top_10.plot(kind='bar', color='grey')\n",
    "\n",
    "# add number labels to the bars with increased font size\n",
    "for i, v in enumerate(top_10):\n",
    "    plt.text(i - 0.15, v + 4, str(v), fontsize=20, rotation = 90)\n",
    "\n",
    "# set the x-axis tick label font size\n",
    "plt.xticks(size=24)\n",
    "\n",
    "# set the y-axis tick label font size\n",
    "plt.yticks(size=20, rotation = 90)\n",
    "\n",
    "\n",
    "plt.ylim([0, 70])\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "# display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7, 9))\n",
    "\n",
    "sex_count = df['sex'].value_counts()\n",
    "\n",
    "colors = ['#424242', '#CCCCCC']\n",
    "plt.bar(sex_count.index, sex_count.values, color=colors, edgecolor='black', linewidth=1)\n",
    "\n",
    "plt.xticks([0, 1], ['Male', 'Female'], fontsize=24)\n",
    "\n",
    "plt.yticks(fontsize=16)\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "for i, v in enumerate(sex_count.values):\n",
    "    plt.text(i, v, str(v), ha='center', va='bottom', fontsize=24)\n",
    "\n",
    "plt.ylim([45, 280])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 792x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(11,5))\n",
    "\n",
    "\n",
    "count = df['year'].value_counts()\n",
    "\n",
    "# sort the counts in descending order\n",
    "count = count.sort_values(ascending=False)\n",
    "\n",
    "# get the top 20 counts\n",
    "top_10 = count.head(10)\n",
    "\n",
    "# create a bar plot based on the top 20 counts\n",
    "top_10.plot(kind='bar', color = 'grey')\n",
    "\n",
    "# add number labels to the bars with increased font size\n",
    "for i, v in enumerate(top_10):\n",
    "    plt.text(i - 0.15, v + 8, str(v), fontsize=22, rotation = 90)\n",
    "\n",
    "# set the x-axis tick label font size\n",
    "plt.xticks(size=24)\n",
    "\n",
    "# set the y-axis tick label font size\n",
    "plt.yticks(size=16, rotation = 90)\n",
    "\n",
    "\n",
    "plt.ylim([0, 220])\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "# display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 792x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(11,5))\n",
    "\n",
    "\n",
    "count = df['final_degree'].value_counts()\n",
    "\n",
    "# sort the counts in descending order\n",
    "count = count.sort_values(ascending=False)\n",
    "\n",
    "# get the top 20 counts\n",
    "top_10 = count.head(10)\n",
    "\n",
    "# create a bar plot based on the top 20 counts\n",
    "top_10.plot(kind='bar', color = 'grey')\n",
    "\n",
    "# add number labels to the bars with increased font size\n",
    "for i, v in enumerate(top_10):\n",
    "    plt.text(i - 0.15, v + 8, str(v), fontsize=24, rotation = 90)\n",
    "\n",
    "# set the x-axis tick label font size\n",
    "plt.xticks(size=22)\n",
    "\n",
    "# set the y-axis tick label font size\n",
    "plt.yticks(size=18, rotation = 90)\n",
    "\n",
    "\n",
    "plt.ylim([0, 150])\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "# display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7, 9))\n",
    "\n",
    "sex_count = df['home_ownership'].value_counts()\n",
    "\n",
    "colors = ['#424242', '#CCCCCC']\n",
    "plt.bar(sex_count.index, sex_count.values, color=colors, edgecolor='black', linewidth=1)\n",
    "\n",
    "plt.xticks([0, 1], ['Ownership', 'No ownership'], fontsize=24)\n",
    "\n",
    "plt.yticks(fontsize=16)\n",
    "\n",
    "plt.grid(True)\n",
    "\n",
    "for i, v in enumerate(sex_count.values):\n",
    "    plt.text(i, v, str(v), ha='center', va='bottom', fontsize=24)\n",
    "\n",
    "plt.ylim([20, 310])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wealth graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(r'.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 792x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Set the figure size\n",
    "plt.figure(figsize=(11,5))\n",
    "\n",
    "# Define the color for the group\n",
    "\n",
    "# Plot a histogram for the \"wealth\" column\n",
    "plt.hist(df['wealth'], bins=40, color='grey', edgecolor='black', linewidth=1.2, alpha=0.5)\n",
    "\n",
    "# Calculate and plot the mean and median values\n",
    "wealth_mean = np.mean(df['wealth'])\n",
    "wealth_median = np.median(df['wealth'])\n",
    "plt.axvline(wealth_mean, color='red', linestyle='dashed', linewidth=2.5, label='Mean')\n",
    "plt.axvline(wealth_median, color='blue', linestyle='dotted', linewidth=2.5, label='Median')\n",
    "\n",
    "# Add the mean and median values to the x-axis\n",
    "plt.text(wealth_mean, -50, 'Mean: {}'.format(round(wealth_mean,4)), ha='center', fontsize=20)\n",
    "plt.text(wealth_median, -80, 'Median: {}'.format(round(wealth_median,4)), ha='center', fontsize=20)\n",
    "\n",
    "# Remove the x-label and increase the y-label\n",
    "plt.xlabel('')\n",
    "plt.ylabel('')\n",
    "plt.xticks(size=18)\n",
    "plt.yticks(size=18)\n",
    "\n",
    "# Add a legend, grid, and title\n",
    "plt.legend(fontsize=20)\n",
    "plt.grid(axis='y', alpha=0.75)\n",
    "plt.title('unit: 1,000KRW', fontsize=18, loc = 'right')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
